Tag: interactive learning
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Active Learning Algorithms with Real-World Crowd Annotations
Explore how active learning algorithms perform using noisy, real-world crowd-sourced text annotations to improve machine learning model accuracy.
GSAL: Advanced Detection of Subtle Visual Anomalies
Discover GSAL, a novel AI framework improving detection and labeling of subtle visual anomalies in industrial and complex datasets.
Mutualistic Neural Active Learning for Bug Report ID
Discover how Mutualistic Neural Active Learning boosts bug report identification with human-machine collaboration, improving software maintenance efficienc...
Interactive vs Traditional Learning: Impact on Student Success
Explore how interactive learning boosts student performance and emotional well-being compared to traditional methods in higher education.
Human vs LLM Annotation in Active Learning for Hostility Detection
Explore how human and LLM annotations compare in active learning for hostility detection, balancing cost, accuracy, and error profiles in AI labeling.